(It wouldve been a lot harder if you didnt say it was only rookie D men)
Well I also posted the players is could have been.
I didn’t try to make it hard. Just letting people see some Comparable players. To players they want to acquire.
I’d prob say use rel cf% and gf vs. xGA to get a more complete picture.
Relative corsi and expected goals for are not for a more complete picture. Expected goals is kinda a BS stat imo. Just shows what you’re expected to do in your current role.
These are more possession numbers, not so much advanced stats. Plus advanced stats don’t give you a complete picture, it’s 1/3rd of the full picture.
Relative corsi and expected goals for are not for a more complete picture. Expected goals is kinda a BS stat imo. Just shows what you’re expected to do in your current role.
These are more possession numbers, not so much advanced stats. Plus advanced stats don’t give you a complete picture, it’s 1/3rd of the full picture.
I mean that’s cool. They’re just way more liable to team and goaltending strength. 1 of a billion examples: Despite playing same minutes this year. Alex Goligoski gave up fewer GA than Jonas Brodin. Now if you thought GA reflected defense at all you’d think Goligoski was in Brodin’s ballpark defensively. But if you were smart, you’d realize that Arizona goaltending is awesome and Minnesota goaltending is terrible and if you just saw the xGA you’d see that Brodin was on ice for 14 fewer xGA.
Similar situation with cf%, of course if you just used cf% you’d think Thomas Chabot had an OK year (49 cf%), but certainly not even close to how dominant Ben Chiarot was (54%).
All of this to say. Poorly implemented analytics are worse than no analytics. If you’re trying to equate numbers to evaluations (this metric = good defense, etc) it’s probably best to know the optimal tool for your argument. Otherwise you end up thinking that analytics can only give you 1/3rd of a player evaluation at best.